Quantification. 
We compare the clean-FID scores [1]} of FFHQ (\(1024\times 1024\) ) samples generated by NCSN++ [2]} without and with our TDAS. For each case, we generate 50,000 samples under 100 iterations.
Table REF  shows that TDAS is highly effective in improving the quality of high-resolution images generated under acceleration.
To the best of our knowledge, this is the first reported FID evaluation of SGMs on the challenging FFHQ (\(1024\times 1024\) ) image generation task.
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